DocumentCode
2708903
Title
Image fusion based on modulation method with resolution degradation and interpolation
Author
Jiang, Wanshou ; Yan, Yuan ; Zhang, Feng ; Wang, Huixian
Author_Institution
Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
6
Abstract
This paper aims at developing a fusion method based on SVR (Synthetic Variable Ratio) to preserve spatial details and spectral characteristics in image fusion processing, coupling several experiments are conducted for different kinds of sensors (ETM+, QuickBird), and fusion performance evaluation results show that this method is not related to sensor type, spectral region of images and number of multispectral bands, and is more effective than other traditional fusion method in several aspects.
Keywords
image fusion; image resolution; interpolation; spectral analysis; ETM+ sensor; QuickBird sensor; image fusion processing; interpolation; modulation method; resolution degradation; spectral characteristics; synthetic variable ratio; Image color analysis; Image fusion; Principal component analysis; Remote sensing; Satellites; Spatial resolution; HIS; PCA; SVR; image fusion; remote sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5980849
Filename
5980849
Link To Document